Integrate and Analyze of sUAS Survey, Registration and Airspace Data for Enhanced Risk Assessment and Forecasting

The purpose of this project is to analyze Federal Aviation Administration (FAA)-furnished and publicly
available sUAS datasets to support the following tasks: 1) estimation and forecasting of sUAS
population; 2) understand sUAS operational behaviors (such as operational times, flight frequency, flight
duration, operation type, and related factors); 3) create an instrument or algorithm for assessing sUAS
operational air and ground risk; 4) evaluate potential implications of sUAS operations on future National
Airspace System activities (such as Advanced Air Mobility) and, 4) support integration of further analysis
capabilities within the FAA’s Geographic Low Altitude Risk Estimation (GLARE) analysis tool.
Implementation of additional capabilities will be effected via additional or modification of various
geographic information systems (GIS) layers within the FAA’s ArcGIS infrastructure, or incorporated into
a supporting data visualization tool, such as Tableau. Specific emphasis will be placed on enabling
refined estimation of sUAS population and operational activities at county-level geospatial fidelity.
When possible, data will be assessed for temporal changes, to enable trend identification.